Sergio Decherchi

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 23

Top Topics

Regularized Least Squares

Molecular Dynamics

Extreme Learning Machine

Top Venues

J. Chem. Inf. Model.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Karthikeyan Kalyanasundaram Balasubramanian, Mirco Di Salvo, Walter Rocchia, Sergio Decherchi, Marco Crepaldi
Designing RISC-V Instruction Set Extensions for Artificial Neural Networks: An LLVM Compiler-Driven Perspective. IEEE Access 12 (2024)
Pedro R. A. S. Bassi, Andrea Cavalli, Sergio Decherchi
Explanation is All You Need in Distillation: Mitigating Bias and Shortcut Learning. CoRR (2024)
Pedro R. A. S. Bassi, Sergio Decherchi, Andrea Cavalli
Faster ISNet for Background Bias Mitigation on Deep Neural Networks. CoRR (2024)
Celeste Damiani, Yulia Rodina, Sergio Decherchi
A Hybrid Federated Kernel Regularized Least Squares Algorithm. CoRR (2024)
Lorenzo Rocutto, Marco Maronese, Fabio Lorenzo Traversa, Sergio Decherchi, Andrea Cavalli
Assessing the Effectiveness of Non-Turing Computing Paradigms. IEEE Access 11 (2023)
Marco Aldinucci, Elena Maria Baralis, Valeria Cardellini, Iacopo Colonnelli, Marco Danelutto, Sergio Decherchi, Giuseppe Di Modica, Luca Ferrucci, Marco Gribaudo, Francesco Iannone, Marco Lapegna, Doriana Medic, Giuseppa Muscianisi, Francesca Righetti, Eva Sciacca, Nicola Tonellotto, Mauro Tortonesi, Paolo Trunfio, Tullio Vardanega
A Systematic Mapping Study of Italian Research on Workflows. SC Workshops (2023)
Sarmistha Majumdar, Francesco Di Palma, Francesca Spyrakis, Sergio Decherchi, Andrea Cavalli
Molecular Dynamics and Machine Learning Give Insights on the Flexibility-Activity Relationships in Tyrosine Kinome. J. Chem. Inf. Model. 63 (15) (2023)
Erik Cambria, Qian Liu, Sergio Decherchi, Frank Xing, Kenneth Kwok
SenticNet 7: A Commonsense-based Neurosymbolic AI Framework for Explainable Sentiment Analysis. LREC (2022)
Erika Gardini, Andrea Cavalli, Sergio Decherchi
An Ab Initio Local Principal Path Algorithm. IJCNN (2021)
Erika Gardini, Marco Jacopo Ferrarotti, Andrea Cavalli, Sergio Decherchi
Using Principal Paths to Walk Through Music and Visual Art Style Spaces Induced by Convolutional Neural Networks. Cogn. Comput. 13 (2) (2021)
Luca Pestarino, Giovanni Fiorito, Silvia Polidoro, Paolo Vineis, Andrea Cavalli, Sergio Decherchi
On the Stability of Feature Selection in Multiomics Data. IJCNN (2021)
Sergio Decherchi, Andrea Cavalli
Fast and Memory-Efficient Import Vector Domain Description. Neural Process. Lett. 52 (1) (2020)
Erika Gardini, Federico M. Giorgi, Sergio Decherchi, Andrea Cavalli
Spathial: an R package for the evolutionary analysis of biological data. Bioinform. 36 (17) (2020)
Sergio Decherchi, Andrea Spitaleri, John E. Stone, Walter Rocchia
NanoShaper-VMD interface: computing and visualizing surfaces, pockets and channels in molecular systems. Bioinform. 35 (7) (2019)
Marco Jacopo Ferrarotti, Walter Rocchia, Sergio Decherchi
Finding Principal Paths in Data Space. IEEE Trans. Neural Networks Learn. Syst. 30 (8) (2019)
Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Marco Jacopo Ferrarotti, Walter Rocchia, Sergio Decherchi
Cognitive Insights into Sentic Spaces Using Principal Paths. Cogn. Comput. 11 (5) (2019)
Sergio Decherchi, Giovanni Bottegoni, Andrea Spitaleri, Walter Rocchia, Andrea Cavalli
Addendum to BiKi Life Sciences: A New Suite for Molecular Dynamics and Related Methods in Drug Discovery. J. Chem. Inf. Model. 58 (8) (2018)
Sergio Decherchi, Andrea Cavalli
Simple Learning with a Teacher via Biased Regularized Least Squares. LOD (2018)
Sergio Decherchi, Giovanni Bottegoni, Andrea Spitaleri, Walter Rocchia, Andrea Cavalli
BiKi Life Sciences: A New Suite for Molecular Dynamics and Related Methods in Drug Discovery. J. Chem. Inf. Model. 58 (2) (2018)
Marco Jacopo Ferrarotti, Sergio Decherchi, Walter Rocchia
Distributed Kernel K-Means for Large Scale Clustering. CoRR (2017)
Sergio Decherchi, Walter Rocchia
Import Vector Domain Description: A Kernel Logistic One-Class Learning Algorithm. IEEE Trans. Neural Networks Learn. Syst. 28 (7) (2017)
Paolo Gastaldo, Federica Bisio, Sergio Decherchi, Rodolfo Zunino
SIM-ELM: Connecting the ELM model with similarity-function learning. Neural Networks 74 (2016)
Federica Bisio, Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino
Inductive bias for semi-supervised extreme learning machine. Neurocomputing 174 (2016)
Francesca Spyrakis, Paolo Benedetti, Sergio Decherchi, Walter Rocchia, Andrea Cavalli, Stefano Alcaro, Francesco Ortuso, Massimo Baroni, Gabriele Cruciani
A Pipeline To Enhance Ligand Virtual Screening: Integrating Molecular Dynamics and Fingerprints for Ligand and Proteins. J. Chem. Inf. Model. 55 (10) (2015)
Federica Bisio, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi
Semi-supervised machine learning approach for unknown malicious software detection. INISTA (2014)
Daniele D'Agostino, Andrea Clematis, Sergio Decherchi, Walter Rocchia, Luciano Milanesi, Ivan Merelli
CUDA accelerated molecular surface generation. Concurr. Comput. Pract. Exp. 26 (10) (2014)
Erik Cambria, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Hongming Zhou, Chi-Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu, Kuan Li, Victor C. M. Leung, Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Anton Akusok, Amaury Lendasse, Francesco Corona, Rui Nian, Yoan Miche, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi, Xuefeng Yang, Kezhi Mao, Beom-Seok Oh, Je-Hyoung Jeon, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim, Hanchao Yu, Yiqiang Chen, Junfa Liu
Extreme Learning Machines. IEEE Intell. Syst. 28 (6) (2013)
Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria, Judith Redi
Circular-ELM for the reduced-reference assessment of perceived image quality. Neurocomputing 102 (2013)
José Colmenares, Jesús Ortiz, Sergio Decherchi, Amir Fijany, Walter Rocchia
Solving the Linearized Poisson-Boltzmann Equation on GPUs Using CUDA. PDP (2013)
Sergio Decherchi, Mauro Parodi, Sandro Ridella
Learning the mean: A neural network approach. Neurocomputing 77 (1) (2012)
Sergio Decherchi, Paolo Gastaldo, Alessio Leoncini, Rodolfo Zunino
Efficient Digital Implementation of Extreme Learning Machines for Classification. IEEE Trans. Circuits Syst. II Express Briefs (8) (2012)
Alessio Leoncini, Fabio Sangiacomo, Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino
Semantic Oriented Clustering of Documents. ISNN (3) (2011)
Sergio Decherchi, Paolo Gastaldo, Ravinder S. Dahiya, Maurizio Valle, Rodolfo Zunino
Tactile-Data Classification of Contact Materials Using Computational Intelligence. IEEE Trans. Robotics 27 (3) (2011)
Sergio Decherchi, Davide Leoncini, Paolo Gastaldo, Rodolfo Zunino, Osvaldo Faggioni, Maurizio Soldani
Computational intelligence methods for underwater magnetic-based protection systems. IJCNN (2011)
Sergio Decherchi, Paolo Gastaldo, Fabio Sangiacomo, Alessio Leoncini, Rodolfo Zunino
Operative assessment of predicted generalization errors on non-stationary distributions in data-intensive applications. Intell. Data Anal. 15 (2) (2011)
Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino
Efficient approximate Regularized Least Squares by Toeplitz matrix. Pattern Recognit. Lett. 32 (3) (2011)
Daniele D'Agostino, Sergio Decherchi, Antonella Galizia, José Colmenares, Alfonso Quarati, Walter Rocchia, Andrea Clematis
CUDA Accelerated Blobby Molecular Surface Generation. PPAM (1) (2011)
Sergio Decherchi, Mauro Parodi, Sandro Ridella
A neural model approach for regularization in the mean estimation case. IJCNN (2010)
Fabio Sangiacomo, Alessio Leoncini, Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino
SeaLab Advanced Information Retrieval. ICSC (2010)
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, Paolo Gastaldo, Davide Anguita
Using unsupervised analysis to constrain generalization bounds for support vector classifiers. IEEE Trans. Neural Networks 21 (3) (2010)
Davide Leoncini, Sergio Decherchi, Osvaldo Faggioni, Paolo Gastaldo, Maurizio Soldani, Rodolfo Zunino
A Preliminary Study on SVM Based Analysis of Underwater Magnetic Signals for Port Protection. CISIS (2009)
Sergio Decherchi, Simone Tacconi, Judith Redi, Alessio Leoncini, Fabio Sangiacomo, Rodolfo Zunino
Text Clustering for Digital Forensics Analysis. CISIS (2009)
Sergio Decherchi, Paolo Gastaldo, Judith Redi, Rodolfo Zunino
Maximal-discrepancy bounds for regularized classifiers. IJCNN (2009)
Sergio Decherchi, Paolo Gastaldo, Mauro Parodi, Rodolfo Zunino
Circuit implementation of SVM training. IJCNN (2009)
Sergio Decherchi, Paolo Gastaldo, Judith Redi, Rodolfo Zunino
Non-stationary Data Mining: The Network Security Issue. ICANN (2) (2008)
Sergio Decherchi, Paolo Gastaldo, Judith Redi, Rodolfo Zunino
Hypermetric k-Means Clustering for Content-Based Document Management. CISIS (2008)
Paolo Gastaldo, Giovanni Parodi, Sergio Decherchi, Rodolfo Zunino
Efficient Implementation of SVM Training on Embedded Electronic Systems. WILF (2007)
Sergio Decherchi, Giovanni Parodi, Paolo Gastaldo, Rodolfo Zunino
Embedded Electronics Systems for Training Support Vector Machines. IJCNN (2006)